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Information Journal Paper

Title

Comparing Mean Vectors Via Generalized Inference in Multivariate Log-Normal Distributions

Pages

  187-196

Abstract

 In this paper, we consider the problem of means in several Multivariate log-normal distributions and propose a useful method called as Generalized Variable method. Simulation studies show that suggested method has a appropriate size and power regardless sample size. To evaluation this method, we compare this method with traditional MANOVA such that the actual sizes of the two methods are close but the power of test and Coverage probability of proposed methods are better than MANOVA in most cases specially when the sample sizes are small. Therefore, we can use this method when the variance-covariance matrices are not equal and there is not a suitable method...

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    APA: Copy

    ABDOLLAHNEZHAD, KAMEL, Tatari, Nasrin, & JAFARI, ALI AKBAR. (2020). Comparing Mean Vectors Via Generalized Inference in Multivariate Log-Normal Distributions. MATHEMATICAL RESEARCHES, 5(2 ), 187-196. SID. https://sid.ir/paper/403307/en

    Vancouver: Copy

    ABDOLLAHNEZHAD KAMEL, Tatari Nasrin, JAFARI ALI AKBAR. Comparing Mean Vectors Via Generalized Inference in Multivariate Log-Normal Distributions. MATHEMATICAL RESEARCHES[Internet]. 2020;5(2 ):187-196. Available from: https://sid.ir/paper/403307/en

    IEEE: Copy

    KAMEL ABDOLLAHNEZHAD, Nasrin Tatari, and ALI AKBAR JAFARI, “Comparing Mean Vectors Via Generalized Inference in Multivariate Log-Normal Distributions,” MATHEMATICAL RESEARCHES, vol. 5, no. 2 , pp. 187–196, 2020, [Online]. Available: https://sid.ir/paper/403307/en

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